Sentence Similarity
sentence-transformers
PyTorch
Transformers
French
flaubert
feature-extraction
xnli
stsb_multi_mt
Instructions to use inokufu/flaubert-base-uncased-xnli-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use inokufu/flaubert-base-uncased-xnli-sts with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("inokufu/flaubert-base-uncased-xnli-sts") sentences = [ "C'est une personne heureuse", "C'est un chien heureux", "C'est une personne très heureuse", "Aujourd'hui est une journée ensoleillée" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use inokufu/flaubert-base-uncased-xnli-sts with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("inokufu/flaubert-base-uncased-xnli-sts") model = AutoModel.from_pretrained("inokufu/flaubert-base-uncased-xnli-sts") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
by
SFconvertbot
Problems when exporting model to ONNX
#3 opened almost 3 years ago
by
danielranchal
Error when using the model from the model card
2
#1 opened almost 4 years ago
by
mustapha